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framework to identify and prioritise components suitable for metal additive manufacturing. Applying AI, data analytics and machine learning to evaluate 2D and 3D design data. Collaborating with defence
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and/or guideline development, particularly physical activity or dementia. Experience in qualitative research design, data collection, and analysis. Experience supervising HDR students. Evidence of
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and contribute to data collection activities using appropriate research methods and protocols. Undertake literature reviews and preliminary data analysis. Assist with preparing funding applications
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of proven academic excellence and will have already made significant personal contributions to their discipline. They will have gained high-level experience with a research component through studying
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in experimental design and statistical analysis of experimental data. An established publication track record in relevant fields. Commitment to working effectively within team environments. Candidates
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, stakeholder consultation, data collection, qualitative and quantitative data analysis and reporting. Must hold registration as a midwife with the Nursing and Midwifery Board of Australia. Evidence of a record